2 citations · 5 across the 5 of their papers we have counts for
5 papers
Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models
Rasoul Shahsavarifar, Jithu Chandran, Mario Inchiosa +5
In the past few years, Artificial Intelligence (AI) has garnered attention from various industries including financial services (FS). AI has made a positive impact in financial ser…
Algorithmic and geometric aspects of data depth with focus on -skeleton depth
Rasoul Shahsavarifar
The statistical rank tests play important roles in univariate non-parametric data analysis. If one attempts to generalize the rank tests to a multivariate case, the problem of defi…
Approximate Data Depth Revisited
Rasoul Shahsavarifar, David Bremner
Halfspace depth and -skeleton depth are two types of depth functions in nonparametric data analysis. The halfspace depth of a query point with respect to $S\…
Computing the Planar -skeleton Depth
Rasoul Shahsavarifar, David Bremner
For , the \emph{-skeleton depth} ($\SkD_β$) of a query point with respect to a distribution function on is defined as the probabi…
An Optimal Algorithm for Computing the Spherical Depth of Points in the Plane
David Bremner, Rasoul Shahsavarifar
For a distribution function on and a point , the \emph{spherical depth} $\SphD(q;F)$ is defined to be the probability that a point is cont…